Plot the log-likelihood curve for the incidence rate estimate

Usage

# S3 method for class 'seroincidence'
autoplot(object, log_x = FALSE, ...)

Arguments

object: a seroincidence object (from est.incidence())
log_x: should the x-axis be on a logarithmic scale (TRUE) or linear scale (FALSE, default)?
...: unused

Value

a ggplot2::ggplot()

Examples

# \donttest{
library(dplyr)
library(ggplot2)

xs_data <-
  sees_pop_data_pk_100

curve <-
  typhoid_curves_nostrat_100 %>%
  filter(antigen_iso %in% c("HlyE_IgA", "HlyE_IgG"))

noise <-
  example_noise_params_pk

est1 <- est.incidence(
  pop_data = xs_data,
  curve_param = curve,
  noise_param = noise,
  antigen_isos = c("HlyE_IgG", "HlyE_IgA"),
  build_graph = TRUE
)

# Plot the log-likelihood curve
autoplot(est1)

# }